Assignment_3

Assignment 3: Reading json data from a web page

On the website of the New York Times: https://www.nytimes.com/interactive/2021/12/28/us/covid-deaths.html?referrer=masthead

We find a figure showing the relationship between vaccination rates and the number of deaths from COVID-19 in the various states in the US.

Task 1

Source: New York Times database of reports from state and local health agencies, Centers for Disease Control and Prevention • Notes: Chart shows deaths reported since universal vaccine eligibility on April 19, 2021. Vaccination rate is the percentage of the total population fully vaccinated as of Dec. 20, 2021.

Task 2


Call:
lm(formula = deaths_per_100k ~ fully_vaccinated_pct_of_pop, data = df)

Residuals:
    Min      1Q  Median      3Q     Max 
-5.9688 -1.4000 -0.0834  1.1955  7.6635 

Coefficients:
                            Estimate Std. Error t value Pr(>|t|)    
(Intercept)                   31.149      2.531  12.305  < 2e-16 ***
fully_vaccinated_pct_of_pop  -36.663      4.183  -8.764 1.33e-11 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 2.49 on 49 degrees of freedom
Multiple R-squared:  0.6105,    Adjusted R-squared:  0.6026 
F-statistic: 76.81 on 1 and 49 DF,  p-value: 1.328e-11

This gives us a coefficient that shows us that it estimates a -0.37 per per x, value this tells us that there would be 0.37 less in deaths per 100 000 for every 1% increase in vaccine coverage.

The intercept tells us that it would be roughly 31.15 deaths per 100 000 if there were no one vaccinated.

Extra:

Finally i made this using plotly.

Source: New York Times database of reports from state and local health agencies, Centers for Disease Control and Prevention • Notes: Chart shows deaths reported since universal vaccine eligibility on April 19, 2021. Vaccination rate is the percentage of the total population fully vaccinated as of Dec. 20, 2021.